Data Mastery Hub: Term Resource for Data Professionals
Whether you're a newcomer to the world of big data and data lakes or an experienced pro looking to expand your knowledge, the Dremio Wiki provides insights and guidance for all your data-related needs. Dive in and unlock the power of your data today!
Machine Learning
Learning Rate
Learning Rate is an important parameter in machine learning algorithms that controls the speed at which a model learns from data.
Data Governance
Lineage Tracking
Lineage Tracking is a method for tracking and documenting the origin and transformation history of data.
Data Management
Linked Data
Linked Data is a method of publishing structured data on the web so that it can be interlinked, and facilitates data integration and analysis.
Data Management
List Partitioning
List Partitioning is a data management technique that involves dividing data into partitions based on predefined lists.
Network Infrastructure
Load Balancing
Load Balancing is the process of distributing workloads across multiple servers to optimize performance and prevent downtime.
Data Management
Locking and Concurrency
Locking and Concurrency is a technique used in data processing and analytics to ensure data consistency and enable multiple users and applications to work with data simultaneously.
Data Management
Log Compaction
Log Compaction is a technique used to optimize storage and improve data processing and analytics by compressing and consolidating logs.
Data Analysis
Log File Analysis
Log File Analysis is the process of examining log files generated by computer systems to gain insights, troubleshoot issues, and optimize performance.
Data Management
Log-Based Replication
Log-Based Replication is a data replication technique that captures and replays changes made to a database by reading and replicating the database's transaction log.
AI
Long Short-Term Memory
Long Short-Term Memory is a type of recurrent neural network (RNN) architecture that is designed to process sequential data efficiently.
Machine Learning
Loss Functions
Loss Functions is a mathematical function that measures the difference between the predicted and actual values in machine learning models.
Data Management
Lossless Compression
Lossless Compression is a data compression technique that reduces file size without losing any data or quality.
Data Management
Lossy Compression
Lossy Compression is a data compression technique that sacrifices some data accuracy in order to achieve higher compression rates.
Data Management
Machine Data
Machine Data is the information generated by machines, including logs, sensors, metrics, and other types of operational data.
Data Analysis
Machine Learning
Discover how Machine Learning drives data processing and analytics in diverse applications, and integrates with data lakehouse environments.
